949 lines
44 KiB
JavaScript
949 lines
44 KiB
JavaScript
const mysql = require('mysql2/promise');
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const path = require('path');
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require('dotenv').config({ path: path.resolve(__dirname, '..', '.env') });
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const fs = require('fs');
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// Helper function to format elapsed time
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function formatElapsedTime(startTime) {
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const elapsed = Date.now() - startTime;
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const seconds = Math.floor(elapsed / 1000);
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const minutes = Math.floor(seconds / 60);
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const hours = Math.floor(minutes / 60);
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if (hours > 0) {
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return `${hours}h ${minutes % 60}m`;
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} else if (minutes > 0) {
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return `${minutes}m ${seconds % 60}s`;
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} else {
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return `${seconds}s`;
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}
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}
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// Helper function to estimate remaining time
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function estimateRemaining(startTime, current, total) {
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if (current === 0) return null;
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const elapsed = Date.now() - startTime;
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const rate = current / elapsed;
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const remaining = (total - current) / rate;
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const minutes = Math.floor(remaining / 60000);
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const seconds = Math.floor((remaining % 60000) / 1000);
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if (minutes > 0) {
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return `${minutes}m ${seconds}s`;
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} else {
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return `${seconds}s`;
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}
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}
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// Helper function to calculate rate
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function calculateRate(startTime, current) {
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const elapsed = (Date.now() - startTime) / 1000; // Convert to seconds
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return elapsed > 0 ? Math.round(current / elapsed) : 0;
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}
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// Helper function to output progress
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function outputProgress(data) {
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// Save progress to file for resumption
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saveProgress(data);
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// Format as SSE event
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const event = {
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progress: data
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};
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// Always send to stdout for frontend
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process.stdout.write(JSON.stringify(event) + '\n');
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// Log significant events to disk
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const isSignificant =
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// Operation starts
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(data.operation && !data.current) ||
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// Operation completions and errors
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data.status === 'complete' ||
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data.status === 'error' ||
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// Major phase changes
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data.operation?.includes('Starting ABC classification') ||
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data.operation?.includes('Starting time-based aggregates') ||
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data.operation?.includes('Starting vendor metrics');
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if (isSignificant) {
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logImport(`${data.operation || 'Operation'}${data.message ? ': ' + data.message : ''}${data.error ? ' Error: ' + data.error : ''}${data.status ? ' Status: ' + data.status : ''}`);
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}
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}
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// Set up logging
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const LOG_DIR = path.join(__dirname, '../logs');
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const ERROR_LOG = path.join(LOG_DIR, 'import-errors.log');
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const IMPORT_LOG = path.join(LOG_DIR, 'import.log');
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// Ensure log directory exists
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if (!fs.existsSync(LOG_DIR)) {
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fs.mkdirSync(LOG_DIR, { recursive: true });
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}
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// Helper function to log errors
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function logError(error, context = '') {
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const timestamp = new Date().toISOString();
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const errorMessage = `[${timestamp}] ${context}\nError: ${error.message}\nStack: ${error.stack}\n\n`;
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// Log to error file
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fs.appendFileSync(ERROR_LOG, errorMessage);
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// Also log to console
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console.error(`\n${context}\nError: ${error.message}`);
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}
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// Helper function to log import progress
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function logImport(message, isSignificant = true) {
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const timestamp = new Date().toISOString();
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const logMessage = `[${timestamp}] ${message}\n`;
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fs.appendFileSync(IMPORT_LOG, logMessage);
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}
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// Database configuration
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const dbConfig = {
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host: process.env.DB_HOST,
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user: process.env.DB_USER,
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password: process.env.DB_PASSWORD,
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database: process.env.DB_NAME,
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waitForConnections: true,
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connectionLimit: 10,
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queueLimit: 0
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};
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// Add cancel handler
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let isCancelled = false;
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// Add status file handling for progress resumption
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const STATUS_FILE = path.join(__dirname, '..', 'logs', 'metrics-status.json');
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function saveProgress(progress) {
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try {
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fs.writeFileSync(STATUS_FILE, JSON.stringify({
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...progress,
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timestamp: Date.now()
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}));
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} catch (err) {
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console.error('Failed to save progress:', err);
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}
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}
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function clearProgress() {
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try {
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if (fs.existsSync(STATUS_FILE)) {
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fs.unlinkSync(STATUS_FILE);
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}
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} catch (err) {
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console.error('Failed to clear progress:', err);
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}
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}
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function getProgress() {
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try {
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if (fs.existsSync(STATUS_FILE)) {
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const progress = JSON.parse(fs.readFileSync(STATUS_FILE, 'utf8'));
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// Check if the progress is still valid (less than 1 hour old)
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if (progress.timestamp && Date.now() - progress.timestamp < 3600000) {
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return progress;
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} else {
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// Clear old progress
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clearProgress();
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}
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}
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} catch (err) {
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console.error('Failed to read progress:', err);
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clearProgress();
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}
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return null;
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}
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function cancelCalculation() {
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isCancelled = true;
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clearProgress();
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// Format as SSE event
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const event = {
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progress: {
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status: 'cancelled',
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operation: 'Calculation cancelled',
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current: 0,
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total: 0,
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elapsed: null,
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remaining: null,
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rate: 0,
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timestamp: Date.now()
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}
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};
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process.stdout.write(JSON.stringify(event) + '\n');
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process.exit(0);
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}
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// Handle SIGTERM signal for cancellation
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process.on('SIGTERM', cancelCalculation);
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async function calculateMetrics() {
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let pool;
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const startTime = Date.now();
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let processedCount = 0;
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let totalProducts = 0;
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try {
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isCancelled = false;
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pool = mysql.createPool(dbConfig);
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const connection = await pool.getConnection();
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try {
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// Get total number of products
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const [countResult] = await connection.query('SELECT COUNT(*) as total FROM products')
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.catch(err => {
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logError(err, 'Failed to count products');
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throw err;
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});
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totalProducts = countResult[0].total;
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// Initial progress with percentage
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outputProgress({
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status: 'running',
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operation: 'Processing products',
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current: processedCount,
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total: totalProducts,
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elapsed: '0s',
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remaining: 'Calculating...',
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rate: 0,
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percentage: '0'
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});
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// Process in batches of 100
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const batchSize = 100;
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for (let offset = 0; offset < totalProducts; offset += batchSize) {
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if (isCancelled) {
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throw new Error('Operation cancelled');
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}
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const [products] = await connection.query('SELECT product_id, vendor FROM products LIMIT ? OFFSET ?', [batchSize, offset])
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.catch(err => {
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logError(err, `Failed to fetch products batch at offset ${offset}`);
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throw err;
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});
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processedCount += products.length;
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// Update progress after each batch
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outputProgress({
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status: 'running',
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operation: 'Processing products',
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current: processedCount,
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total: totalProducts,
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elapsed: formatElapsedTime(startTime),
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remaining: estimateRemaining(startTime, processedCount, totalProducts),
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rate: calculateRate(startTime, processedCount),
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percentage: ((processedCount / totalProducts) * 100).toFixed(1)
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});
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// Process the batch
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const metricsUpdates = [];
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for (const product of products) {
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try {
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// Get configuration values for this product
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const [configs] = await connection.query(`
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WITH product_info AS (
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SELECT
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p.product_id,
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p.vendor,
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pc.category_id
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FROM products p
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LEFT JOIN product_categories pc ON p.product_id = pc.product_id
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WHERE p.product_id = ?
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),
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threshold_options AS (
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SELECT
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st.*,
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CASE
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WHEN st.category_id = pi.category_id AND st.vendor = pi.vendor THEN 1 -- Category + vendor match
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WHEN st.category_id = pi.category_id AND st.vendor IS NULL THEN 2 -- Category match
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WHEN st.category_id IS NULL AND st.vendor = pi.vendor THEN 3 -- Vendor match
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WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 4 -- Default
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ELSE 5
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END as priority
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FROM product_info pi
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CROSS JOIN stock_thresholds st
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WHERE (st.category_id = pi.category_id OR st.category_id IS NULL)
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AND (st.vendor = pi.vendor OR st.vendor IS NULL)
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),
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velocity_options AS (
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SELECT
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sv.*,
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CASE
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WHEN sv.category_id = pi.category_id AND sv.vendor = pi.vendor THEN 1
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WHEN sv.category_id = pi.category_id AND sv.vendor IS NULL THEN 2
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WHEN sv.category_id IS NULL AND sv.vendor = pi.vendor THEN 3
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WHEN sv.category_id IS NULL AND sv.vendor IS NULL THEN 4
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ELSE 5
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END as priority
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FROM product_info pi
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CROSS JOIN sales_velocity_config sv
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WHERE (sv.category_id = pi.category_id OR sv.category_id IS NULL)
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AND (sv.vendor = pi.vendor OR sv.vendor IS NULL)
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),
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safety_options AS (
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SELECT
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ss.*,
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CASE
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WHEN ss.category_id = pi.category_id AND ss.vendor = pi.vendor THEN 1
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WHEN ss.category_id = pi.category_id AND ss.vendor IS NULL THEN 2
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WHEN ss.category_id IS NULL AND ss.vendor = pi.vendor THEN 3
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WHEN ss.category_id IS NULL AND ss.vendor IS NULL THEN 4
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ELSE 5
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END as priority
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FROM product_info pi
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CROSS JOIN safety_stock_config ss
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WHERE (ss.category_id = pi.category_id OR ss.category_id IS NULL)
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AND (ss.vendor = pi.vendor OR ss.vendor IS NULL)
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)
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SELECT
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-- Stock thresholds
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COALESCE(
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(SELECT critical_days
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FROM threshold_options
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ORDER BY priority LIMIT 1),
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7
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) as critical_days,
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COALESCE(
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(SELECT reorder_days
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FROM threshold_options
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ORDER BY priority LIMIT 1),
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14
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) as reorder_days,
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COALESCE(
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(SELECT overstock_days
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FROM threshold_options
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ORDER BY priority LIMIT 1),
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90
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) as overstock_days,
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COALESCE(
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(SELECT low_stock_threshold
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FROM threshold_options
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ORDER BY priority LIMIT 1),
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5
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) as low_stock_threshold,
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-- Sales velocity windows
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COALESCE(
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(SELECT daily_window_days
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FROM velocity_options
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ORDER BY priority LIMIT 1),
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30
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) as daily_window_days,
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COALESCE(
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(SELECT weekly_window_days
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FROM velocity_options
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ORDER BY priority LIMIT 1),
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7
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) as weekly_window_days,
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COALESCE(
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(SELECT monthly_window_days
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FROM velocity_options
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ORDER BY priority LIMIT 1),
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90
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) as monthly_window_days,
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-- Safety stock config
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COALESCE(
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(SELECT coverage_days
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FROM safety_options
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ORDER BY priority LIMIT 1),
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14
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) as safety_stock_days,
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COALESCE(
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(SELECT service_level
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FROM safety_options
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ORDER BY priority LIMIT 1),
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95.0
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) as service_level,
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-- ABC Classification
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(SELECT a_threshold FROM abc_classification_config WHERE id = 1) as abc_a_threshold,
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(SELECT b_threshold FROM abc_classification_config WHERE id = 1) as abc_b_threshold,
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(SELECT classification_period_days FROM abc_classification_config WHERE id = 1) as abc_period_days
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`, [product.product_id]);
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const config = configs[0] || {
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critical_days: 7,
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reorder_days: 14,
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overstock_days: 90,
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low_stock_threshold: 5,
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daily_window_days: 30,
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weekly_window_days: 7,
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monthly_window_days: 90,
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safety_stock_days: 14,
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service_level: 95.0,
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abc_a_threshold: 20.0,
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abc_b_threshold: 50.0,
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abc_period_days: 90
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};
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// Calculate sales metrics with trends using configured windows
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const [salesMetrics] = await connection.query(`
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WITH sales_summary AS (
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SELECT
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SUM(o.quantity) as total_quantity_sold,
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SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) as total_revenue,
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SUM(COALESCE(p.cost_price, 0) * o.quantity) as total_cost,
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MAX(o.date) as last_sale_date,
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MIN(o.date) as first_sale_date,
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COUNT(DISTINCT o.order_number) as number_of_orders,
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AVG(o.quantity) as avg_quantity_per_order,
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-- Calculate rolling averages using configured windows
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SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END) as last_30_days_qty,
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SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END) as last_7_days_qty,
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SUM(CASE WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY) THEN o.quantity ELSE 0 END) as last_month_qty
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FROM orders o
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JOIN products p ON o.product_id = p.product_id
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WHERE o.canceled = 0 AND o.product_id = ?
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GROUP BY o.product_id
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)
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SELECT
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total_quantity_sold,
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total_revenue,
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total_cost,
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last_sale_date,
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first_sale_date,
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number_of_orders,
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avg_quantity_per_order,
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last_30_days_qty / ? as rolling_daily_avg,
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last_7_days_qty / ? as rolling_weekly_avg,
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last_month_qty / ? as rolling_monthly_avg,
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total_quantity_sold as total_sales_to_date
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FROM sales_summary
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`, [
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config.daily_window_days,
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config.weekly_window_days,
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config.monthly_window_days,
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product.product_id,
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config.daily_window_days,
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config.weekly_window_days,
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config.monthly_window_days
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]).catch(err => {
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logError(err, `Failed to calculate sales metrics for product ${product.product_id}`);
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throw err;
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});
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|
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// Calculate purchase metrics with proper handling of negative quantities
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const [purchaseMetrics] = await connection.query(`
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WITH recent_orders AS (
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SELECT
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date,
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received_date,
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received,
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cost_price,
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DATEDIFF(received_date, date) as lead_time_days,
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ROW_NUMBER() OVER (ORDER BY date DESC) as order_rank
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FROM purchase_orders
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WHERE status = 'closed'
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AND product_id = ?
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AND received > 0
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AND received_date IS NOT NULL
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),
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|
lead_time_orders AS (
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SELECT *
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FROM recent_orders
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WHERE order_rank <= 5 -- Last 5 orders
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OR date >= DATE_SUB(CURDATE(), INTERVAL 90 DAY) -- Or orders from last 90 days
|
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)
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SELECT
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SUM(CASE WHEN received >= 0 THEN received ELSE 0 END) as total_quantity_purchased,
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SUM(CASE WHEN received >= 0 THEN cost_price * received ELSE 0 END) as total_cost,
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MAX(date) as last_purchase_date,
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MAX(received_date) as last_received_date,
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AVG(lead_time_days) as avg_lead_time_days,
|
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COUNT(*) as orders_analyzed
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|
FROM lead_time_orders
|
|
`, [product.product_id]).catch(err => {
|
|
logError(err, `Failed to calculate purchase metrics for product ${product.product_id}`);
|
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throw err;
|
|
});
|
|
|
|
// Get current stock
|
|
const [stockInfo] = await connection.query(`
|
|
SELECT stock_quantity, cost_price
|
|
FROM products
|
|
WHERE product_id = ?
|
|
`, [product.product_id]).catch(err => {
|
|
logError(err, `Failed to get stock info for product ${product.product_id}`);
|
|
throw err;
|
|
});
|
|
|
|
// Get stock thresholds for this product's category/vendor
|
|
const [thresholds] = await connection.query(`
|
|
WITH product_info AS (
|
|
SELECT
|
|
p.product_id,
|
|
p.vendor,
|
|
pc.category_id
|
|
FROM products p
|
|
LEFT JOIN product_categories pc ON p.product_id = pc.product_id
|
|
WHERE p.product_id = ?
|
|
),
|
|
threshold_options AS (
|
|
SELECT
|
|
st.*,
|
|
CASE
|
|
WHEN st.category_id = pi.category_id AND st.vendor = pi.vendor THEN 1 -- Category + vendor match
|
|
WHEN st.category_id = pi.category_id AND st.vendor IS NULL THEN 2 -- Category match
|
|
WHEN st.category_id IS NULL AND st.vendor = pi.vendor THEN 3 -- Vendor match
|
|
WHEN st.category_id IS NULL AND st.vendor IS NULL THEN 4 -- Default
|
|
ELSE 5
|
|
END as priority
|
|
FROM product_info pi
|
|
CROSS JOIN stock_thresholds st
|
|
WHERE (st.category_id = pi.category_id OR st.category_id IS NULL)
|
|
AND (st.vendor = pi.vendor OR st.vendor IS NULL)
|
|
)
|
|
SELECT
|
|
COALESCE(
|
|
(SELECT critical_days
|
|
FROM threshold_options
|
|
ORDER BY priority LIMIT 1),
|
|
7
|
|
) as critical_days,
|
|
COALESCE(
|
|
(SELECT reorder_days
|
|
FROM threshold_options
|
|
ORDER BY priority LIMIT 1),
|
|
14
|
|
) as reorder_days,
|
|
COALESCE(
|
|
(SELECT overstock_days
|
|
FROM threshold_options
|
|
ORDER BY priority LIMIT 1),
|
|
90
|
|
) as overstock_days
|
|
`, [product.product_id]).catch(err => {
|
|
logError(err, `Failed to get thresholds for product ${product.product_id}`);
|
|
throw err;
|
|
});
|
|
|
|
const threshold = thresholds[0] || {
|
|
critical_days: 7,
|
|
reorder_days: 14,
|
|
overstock_days: 90,
|
|
safety_stock_days: 14, // Add default safety stock days
|
|
service_level: 95.0 // Add default service level
|
|
};
|
|
|
|
// Calculate metrics
|
|
const metrics = salesMetrics[0] || {};
|
|
const purchases = purchaseMetrics[0] || {};
|
|
const stock = stockInfo[0] || {};
|
|
|
|
const daily_sales_avg = metrics.rolling_daily_avg || 0;
|
|
const weekly_sales_avg = metrics.rolling_weekly_avg || 0;
|
|
const monthly_sales_avg = metrics.total_quantity_sold ? metrics.total_quantity_sold / 30 : 0;
|
|
|
|
// Calculate margin percent with proper handling of zero revenue
|
|
const margin_percent = metrics.total_revenue > 0 ?
|
|
((metrics.total_revenue - metrics.total_cost) / metrics.total_revenue) * 100 :
|
|
null;
|
|
|
|
// Calculate current inventory value
|
|
const inventory_value = (stock.stock_quantity || 0) * (stock.cost_price || 0);
|
|
|
|
// Calculate stock status using configurable thresholds with proper handling of zero sales
|
|
const stock_status = daily_sales_avg === 0 ? 'New' :
|
|
stock.stock_quantity <= Math.max(1, Math.ceil(daily_sales_avg * threshold.critical_days)) ? 'Critical' :
|
|
stock.stock_quantity <= Math.max(1, Math.ceil(daily_sales_avg * threshold.reorder_days)) ? 'Reorder' :
|
|
stock.stock_quantity > Math.max(1, daily_sales_avg * threshold.overstock_days) ? 'Overstocked' : 'Healthy';
|
|
|
|
// Calculate safety stock using configured values with proper defaults
|
|
const safety_stock = daily_sales_avg > 0 ?
|
|
Math.max(1, Math.ceil(daily_sales_avg * (threshold.safety_stock_days || 14) * ((threshold.service_level || 95.0) / 100))) :
|
|
null;
|
|
|
|
// Add to batch update
|
|
metricsUpdates.push([
|
|
product.product_id,
|
|
daily_sales_avg || null,
|
|
weekly_sales_avg || null,
|
|
monthly_sales_avg || null,
|
|
metrics.avg_quantity_per_order || null,
|
|
metrics.number_of_orders || 0,
|
|
metrics.first_sale_date || null,
|
|
metrics.last_sale_date || null,
|
|
daily_sales_avg > 0 ? stock.stock_quantity / daily_sales_avg : null,
|
|
weekly_sales_avg > 0 ? stock.stock_quantity / weekly_sales_avg : null,
|
|
daily_sales_avg > 0 ? Math.max(1, Math.ceil(daily_sales_avg * threshold.reorder_days)) : null,
|
|
daily_sales_avg > 0 ? Math.max(1, Math.ceil(daily_sales_avg * threshold.critical_days)) : null,
|
|
margin_percent,
|
|
metrics.total_revenue || 0,
|
|
inventory_value || 0,
|
|
purchases.avg_lead_time_days || null,
|
|
purchases.last_purchase_date || null,
|
|
purchases.last_received_date || null,
|
|
stock_status
|
|
]);
|
|
} catch (err) {
|
|
logError(err, `Failed processing product ${product.product_id}`);
|
|
// Continue with next product instead of failing entire batch
|
|
continue;
|
|
}
|
|
}
|
|
|
|
// Batch update metrics
|
|
if (metricsUpdates.length > 0) {
|
|
await connection.query(`
|
|
INSERT INTO product_metrics (
|
|
product_id,
|
|
daily_sales_avg,
|
|
weekly_sales_avg,
|
|
monthly_sales_avg,
|
|
avg_quantity_per_order,
|
|
number_of_orders,
|
|
first_sale_date,
|
|
last_sale_date,
|
|
days_of_inventory,
|
|
weeks_of_inventory,
|
|
reorder_point,
|
|
safety_stock,
|
|
avg_margin_percent,
|
|
total_revenue,
|
|
inventory_value,
|
|
avg_lead_time_days,
|
|
last_purchase_date,
|
|
last_received_date,
|
|
stock_status
|
|
) VALUES ?
|
|
ON DUPLICATE KEY UPDATE
|
|
last_calculated_at = NOW(),
|
|
daily_sales_avg = VALUES(daily_sales_avg),
|
|
weekly_sales_avg = VALUES(weekly_sales_avg),
|
|
monthly_sales_avg = VALUES(monthly_sales_avg),
|
|
avg_quantity_per_order = VALUES(avg_quantity_per_order),
|
|
number_of_orders = VALUES(number_of_orders),
|
|
first_sale_date = VALUES(first_sale_date),
|
|
last_sale_date = VALUES(last_sale_date),
|
|
days_of_inventory = VALUES(days_of_inventory),
|
|
weeks_of_inventory = VALUES(weeks_of_inventory),
|
|
reorder_point = VALUES(reorder_point),
|
|
safety_stock = VALUES(safety_stock),
|
|
avg_margin_percent = VALUES(avg_margin_percent),
|
|
total_revenue = VALUES(total_revenue),
|
|
inventory_value = VALUES(inventory_value),
|
|
avg_lead_time_days = VALUES(avg_lead_time_days),
|
|
last_purchase_date = VALUES(last_purchase_date),
|
|
last_received_date = VALUES(last_received_date),
|
|
stock_status = VALUES(stock_status)
|
|
`, [metricsUpdates]).catch(err => {
|
|
logError(err, `Failed to batch update metrics for ${metricsUpdates.length} products`);
|
|
throw err;
|
|
});
|
|
}
|
|
}
|
|
|
|
// Update progress for ABC classification
|
|
if (isCancelled) {
|
|
throw new Error('Operation cancelled');
|
|
}
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Starting ABC classification',
|
|
current: Math.floor(totalProducts * 0.7), // Start from 70% after product processing
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.7), totalProducts),
|
|
rate: calculateRate(startTime, Math.floor(totalProducts * 0.7)),
|
|
percentage: '70'
|
|
});
|
|
|
|
// Calculate ABC classification using configured thresholds
|
|
if (isCancelled) {
|
|
throw new Error('Operation cancelled');
|
|
}
|
|
const [abcConfig] = await connection.query('SELECT a_threshold, b_threshold FROM abc_classification_config WHERE id = 1');
|
|
const abcThresholds = abcConfig[0] || { a_threshold: 20, b_threshold: 50 };
|
|
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Calculating ABC rankings',
|
|
current: Math.floor(totalProducts * 0.8),
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.8), totalProducts),
|
|
rate: calculateRate(startTime, Math.floor(totalProducts * 0.8)),
|
|
percentage: '80'
|
|
});
|
|
|
|
await connection.query(`
|
|
WITH revenue_rankings AS (
|
|
SELECT
|
|
product_id,
|
|
total_revenue,
|
|
PERCENT_RANK() OVER (ORDER BY COALESCE(total_revenue, 0) DESC) * 100 as revenue_percentile
|
|
FROM product_metrics
|
|
),
|
|
classification_update AS (
|
|
SELECT
|
|
product_id,
|
|
CASE
|
|
WHEN revenue_percentile <= ? THEN 'A'
|
|
WHEN revenue_percentile <= ? THEN 'B'
|
|
ELSE 'C'
|
|
END as abc_class
|
|
FROM revenue_rankings
|
|
)
|
|
UPDATE product_metrics pm
|
|
JOIN classification_update cu ON pm.product_id = cu.product_id
|
|
SET pm.abc_class = cu.abc_class,
|
|
pm.last_calculated_at = NOW()
|
|
`, [abcThresholds.a_threshold, abcThresholds.b_threshold]);
|
|
|
|
// Update progress for time-based aggregates
|
|
if (isCancelled) {
|
|
throw new Error('Operation cancelled');
|
|
}
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Starting time-based aggregates calculation',
|
|
current: Math.floor(totalProducts * 0.85),
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.85), totalProducts),
|
|
rate: calculateRate(startTime, Math.floor(totalProducts * 0.85)),
|
|
percentage: '85'
|
|
});
|
|
|
|
// Calculate time-based aggregates
|
|
if (isCancelled) {
|
|
throw new Error('Operation cancelled');
|
|
}
|
|
await connection.query('TRUNCATE TABLE product_time_aggregates;');
|
|
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Calculating sales aggregates',
|
|
current: Math.floor(totalProducts * 0.9),
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.9), totalProducts),
|
|
rate: calculateRate(startTime, Math.floor(totalProducts * 0.9)),
|
|
percentage: '90'
|
|
});
|
|
|
|
await connection.query(`
|
|
INSERT INTO product_time_aggregates (
|
|
product_id,
|
|
year,
|
|
month,
|
|
total_quantity_sold,
|
|
total_revenue,
|
|
total_cost,
|
|
order_count,
|
|
stock_received,
|
|
stock_ordered,
|
|
avg_price,
|
|
profit_margin
|
|
)
|
|
WITH sales_data AS (
|
|
SELECT
|
|
o.product_id,
|
|
YEAR(o.date) as year,
|
|
MONTH(o.date) as month,
|
|
SUM(o.quantity) as total_quantity_sold,
|
|
SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) as total_revenue,
|
|
SUM(COALESCE(p.cost_price, 0) * o.quantity) as total_cost,
|
|
COUNT(DISTINCT o.order_number) as order_count,
|
|
AVG(o.price - COALESCE(o.discount, 0)) as avg_price,
|
|
CASE
|
|
WHEN SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) = 0 THEN 0
|
|
ELSE ((SUM((o.price - COALESCE(o.discount, 0)) * o.quantity) -
|
|
SUM(COALESCE(p.cost_price, 0) * o.quantity)) /
|
|
SUM((o.price - COALESCE(o.discount, 0)) * o.quantity)) * 100
|
|
END as profit_margin
|
|
FROM orders o
|
|
JOIN products p ON o.product_id = p.product_id
|
|
WHERE o.canceled = 0
|
|
GROUP BY o.product_id, YEAR(o.date), MONTH(o.date)
|
|
),
|
|
purchase_data AS (
|
|
SELECT
|
|
product_id,
|
|
YEAR(date) as year,
|
|
MONTH(date) as month,
|
|
SUM(received) as stock_received,
|
|
SUM(ordered) as stock_ordered
|
|
FROM purchase_orders
|
|
WHERE status = 'closed'
|
|
GROUP BY product_id, YEAR(date), MONTH(date)
|
|
)
|
|
SELECT
|
|
s.product_id,
|
|
s.year,
|
|
s.month,
|
|
s.total_quantity_sold,
|
|
s.total_revenue,
|
|
s.total_cost,
|
|
s.order_count,
|
|
COALESCE(p.stock_received, 0) as stock_received,
|
|
COALESCE(p.stock_ordered, 0) as stock_ordered,
|
|
s.avg_price,
|
|
s.profit_margin
|
|
FROM sales_data s
|
|
LEFT JOIN purchase_data p
|
|
ON s.product_id = p.product_id
|
|
AND s.year = p.year
|
|
AND s.month = p.month
|
|
UNION
|
|
SELECT
|
|
p.product_id,
|
|
p.year,
|
|
p.month,
|
|
0 as total_quantity_sold,
|
|
0 as total_revenue,
|
|
0 as total_cost,
|
|
0 as order_count,
|
|
p.stock_received,
|
|
p.stock_ordered,
|
|
0 as avg_price,
|
|
0 as profit_margin
|
|
FROM purchase_data p
|
|
LEFT JOIN sales_data s
|
|
ON p.product_id = s.product_id
|
|
AND p.year = s.year
|
|
AND p.month = s.month
|
|
WHERE s.product_id IS NULL
|
|
`);
|
|
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Time-based aggregates complete',
|
|
current: totalProducts,
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, totalProducts, totalProducts),
|
|
rate: calculateRate(startTime, totalProducts),
|
|
percentage: '100'
|
|
});
|
|
|
|
// Update progress for vendor metrics
|
|
if (isCancelled) {
|
|
throw new Error('Operation cancelled');
|
|
}
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Starting vendor metrics calculation',
|
|
current: Math.floor(totalProducts * 0.95),
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.95), totalProducts),
|
|
rate: calculateRate(startTime, Math.floor(totalProducts * 0.95)),
|
|
percentage: '95'
|
|
});
|
|
|
|
// Calculate vendor metrics with fixed order fill rate calculation
|
|
if (isCancelled) {
|
|
throw new Error('Operation cancelled');
|
|
}
|
|
await connection.query(`
|
|
INSERT INTO vendor_metrics (
|
|
vendor,
|
|
last_calculated_at,
|
|
avg_lead_time_days,
|
|
on_time_delivery_rate,
|
|
order_fill_rate,
|
|
total_orders,
|
|
total_late_orders
|
|
)
|
|
SELECT
|
|
vendor,
|
|
NOW() as last_calculated_at,
|
|
COALESCE(AVG(DATEDIFF(received_date, date)), 0) as avg_lead_time_days,
|
|
COALESCE(
|
|
(COUNT(CASE WHEN DATEDIFF(received_date, date) <= 14 THEN 1 END) * 100.0 / NULLIF(COUNT(*), 0)),
|
|
0
|
|
) as on_time_delivery_rate,
|
|
CASE
|
|
WHEN SUM(ordered) = 0 THEN 0
|
|
ELSE LEAST(100, GREATEST(0, (SUM(CASE WHEN received >= 0 THEN received ELSE 0 END) * 100.0 / SUM(ordered))))
|
|
END as order_fill_rate,
|
|
COUNT(DISTINCT po_id) as total_orders,
|
|
COUNT(CASE WHEN DATEDIFF(received_date, date) > 14 THEN 1 END) as total_late_orders
|
|
FROM purchase_orders
|
|
WHERE status = 'closed'
|
|
GROUP BY vendor
|
|
ON DUPLICATE KEY UPDATE
|
|
last_calculated_at = VALUES(last_calculated_at),
|
|
avg_lead_time_days = VALUES(avg_lead_time_days),
|
|
on_time_delivery_rate = VALUES(on_time_delivery_rate),
|
|
order_fill_rate = VALUES(order_fill_rate),
|
|
total_orders = VALUES(total_orders),
|
|
total_late_orders = VALUES(total_late_orders)
|
|
`);
|
|
|
|
outputProgress({
|
|
status: 'running',
|
|
operation: 'Vendor metrics complete',
|
|
current: Math.floor(totalProducts * 0.98),
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: estimateRemaining(startTime, Math.floor(totalProducts * 0.98), totalProducts),
|
|
rate: calculateRate(startTime, Math.floor(totalProducts * 0.98)),
|
|
percentage: '98'
|
|
});
|
|
|
|
// Final success message
|
|
outputProgress({
|
|
status: 'complete',
|
|
operation: 'Metrics calculation complete',
|
|
current: totalProducts,
|
|
total: totalProducts,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: '0s',
|
|
rate: calculateRate(startTime, totalProducts),
|
|
percentage: '100'
|
|
});
|
|
|
|
// Clear progress file on successful completion
|
|
clearProgress();
|
|
|
|
} catch (error) {
|
|
if (isCancelled) {
|
|
outputProgress({
|
|
status: 'cancelled',
|
|
operation: 'Calculation cancelled',
|
|
current: processedCount,
|
|
total: totalProducts || 0,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: null,
|
|
rate: calculateRate(startTime, processedCount),
|
|
percentage: ((processedCount / (totalProducts || 1)) * 100).toFixed(1)
|
|
});
|
|
} else {
|
|
outputProgress({
|
|
status: 'error',
|
|
operation: 'Error: ' + error.message,
|
|
current: processedCount,
|
|
total: totalProducts || 0,
|
|
elapsed: formatElapsedTime(startTime),
|
|
remaining: null,
|
|
rate: calculateRate(startTime, processedCount),
|
|
percentage: ((processedCount / (totalProducts || 1)) * 100).toFixed(1)
|
|
});
|
|
}
|
|
throw error;
|
|
} finally {
|
|
connection.release();
|
|
}
|
|
} finally {
|
|
if (pool) {
|
|
await pool.end();
|
|
}
|
|
}
|
|
}
|
|
|
|
// Export both functions and progress checker
|
|
module.exports = calculateMetrics;
|
|
module.exports.cancelCalculation = cancelCalculation;
|
|
module.exports.getProgress = getProgress;
|
|
|
|
// Run directly if called from command line
|
|
if (require.main === module) {
|
|
calculateMetrics().catch(error => {
|
|
if (!error.message.includes('Operation cancelled')) {
|
|
console.error('Error:', error);
|
|
}
|
|
process.exit(1);
|
|
});
|
|
}
|